Coursera Offers New Courses by HSE Lecturers
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From late March and early April, HSE will offer four new English-taught coursers on Coursera on intercultural communication, machine learning, computer vision, and stochastic processes.
Teaching in a Multilingual Class
On March 29, an English-taught course ‘Introduction to Multilingual and Multicultural Education’ was launched. It deals with linguistic diversity, multiculturalism, and the problems which are encountered by education system in relation to these areas. The processes of globalization are highly complex and influence the multi-layered structures of societies, including the economic, socio-cultural, political, linguistic and education aspects. A remarkable increase in global migration flows, especially over the last decade, means that host countries have to to pay particular attention to providing equal education opportunities.
Furthermore, on today’s highly competitive labour market, learning global/international languages (e.g. English) is seen as a necessity. How and at what age should children start learning an additional language (or languages)? Do bilingual/multilingual children perform better at school than their monolingual peers? Which language/education policies are successful and which are not? What challenges do students and teachers face in a multilingual/multicultural classroom?
The lecturer, Denis Zubalov, Assistant Professor at the School of Philology, will address these and many other issues. By the end of this course, you will be able to critically evaluate various teaching practices in multilingual and multicultural settings and possess valuable insights into the learning needs of students in a multilingual/multicultural classroom. The course lasts eight weeks, with 4-6 hours of study per week.
Enrolment is open until April 3.
Machine Learning and AI
If you are interested in machine learning, we recommend that you enroll in the course ‘Practical Reinforcement Learning’ offered by the HSE Faculty of Computer Science. Reinforcement learning (RL) is a prominent area of modern research in artificial intelligence. Students will learn develop both theoretical core and recent practical RL methods. The students will be guided through the basics of RL: we will talk about essential theory of RL, value-based methods (such as SARSA and Q-learning) and policy based algorithms and methods designed to solve the optimal exploration problem.
The course lecturers, Pavel Shvechikov and Alexander Panin from the HSE Faculty of Computer Science, will also present useful practical tips and tricks needed for stabilization, and for applying the methods to large scale problems with deep neural networks.
Preliminary launch date: April 12. The course is English-taught.
Through the Eyes of a Machine: Computer Vision
Deep learning has boosted the already rapidly developing field of computer vision. With deep learning, many new applications of computer vision techniques have been introduced and are now becoming part of our everyday lives. These include facial recognition and indexing, photo stylization and machine vision in self-driving cars.
The goal of the course ‘Deep Learning in Computer Vision’ is to introduce students to computer vision, starting from the basics and then turning to more modern deep learning models. The course lecturers, Anton Konushin, Associate Professor at the Big Data and Information Retrieval School, and Alexey Artemov, Associate Professor at the HSE Joint Department with Yandex, will cover image and video recognition, object recognition and image search, various object detection techniques, motion estimation, object tracking in video, human action recognition, and finally image stylization, editing and new image generation.
The course is taught in English. Duration is five weeks.
Preliminary launch date is April 16; please see the information on the course page.
Basics of Financial Mathematics and Other Probability-Related Subjects
In April, ‘Stochastic Processes’, a new online course by Vladimir Panov, Assistant Professor at the Department of Statistics and Data Analysis, will be launched. The purpose of this course is to equip students with theoretical knowledge and practical skills necessary for the analysis of stochastic dynamical systems in various fields.
You’ll study the basic concepts of the theory of stochastic processes, the most important types of stochastic processes, as well as the methods for describing and analyzing complex stochastic models. As part of the practical training, you’ll learn to understand the most important types of stochastic processes (Poisson, Markov, Gaussian, Wiener processes and others) and will be able to find the most appropriate process for modelling in economics, engineering and other fields. You’ll also study the notions of ergodicity, stationarity, and stochastic integration, and learn to apply these terms in the context of financial mathematics.
The online course ‘Stochastic Processes’ provides the necessary theoretical basis for studying other courses in stochastics, such as financial mathematics, quantitative finance, stochastic modeling and the theory of jump - type processes. It is assumed that the students are familiar with the basics of probability theory. Knowledge of the basics of mathematical statistics would be a plus, although not necessarily required. The course is taught in English and lasts eight weeks.
Preliminary launch date is April 16; please see the information on the course page.
HSE University and Coursera are bringing together the world’s leading researchers, professionals, education and technology leaders, and business community representatives for the fourth international research conference eLearning Stakeholders and Researchers Summit 2021 (eSTARS). This topic of this year’s summit, which will run from December 1–2, 2021,is ‘Digital Transformation: Global Challenges to the Education System’.
In September 2021, HSE University’s Faculty of Informatics, Mathematics and Computer Science at HSE Nizhny Novgorod launched the new applied degree programme Master of Computer Vision. Developed in collaboration with leading experts in the field of computer vision - Huawei, Itseez3D, Intel, Harman, and Xperience.ai – the programme is available on the Coursera platform and open to applicants from all over the world. Andrey Savchenko, Academic Supervisor of the new programme, talked to The HSE Look about how it came to be and what are its advantages.
A new Digital Literacy course created as part of the university-wide Data Culture project has been launched on Coursera. The syllabus includes ten modules developed by experts in relevant fields. Eleven authors worked on this English-taught course.
The English-language course ‘Europe and the World, ca. 1500 to 1914’ has launched on Coursera. Its author, Andrey Iserov, Deputy Dean for International Affairs at the HSE Faculty of Humanities, examines a historical span of four centuries during which European states reached the peak of their economic, military, and political power. Students of the course will learn how the independence of Hispanic America by the mid-1820s influenced China, what caused the religious schism in Western Christianity in the 16th century, and how European colonial policy developed.
The English-taught fully online Master of Business Analytics is offered by HSE University on Coursera in partnership with the AICPA Association. The first cohort will start their classes in September 2021. The programme aims to train a new generation of finance leaders. Working together with AICPA Association allows HSE University to significantly expand the range of educational options available to students.
HSE Master’s programmes in four new specializations are now available on Coursera in the fields of business analysis, finance, and computer science. Each specialization consists of a series of courses and a practice-oriented final project, says the HSE eLearning Office.
The HSE Banking Institute is launching a new Master of Finance programme on Coursera. The online programme is English-taught and based on the CFA certification requirements. Professor Vasily Solodkov, the director of the Banking Institute and the academic supervisor of the programme is discussing the programme features.
Coursera has listed the most popular courses in 2020 among users from Russia. ‘Basics of Programming in Python’ by HSE Unviersity is among the top five.
Degrees in business, technology, and data science will enable students around the world to prepare for the jobs of tomorrow. HSE University and Coursera today announced four new online degree programmes at global higher education conference, eSTARS. With upcoming English-language master’s programmes in business analytics, computer vision, data and network analytics, and finance, HSE now has five fully online degrees on the Coursera platform.
The students of the second cohort in HSE University’s Master of Data Science have started their classes. This English-taught programme is offered entirely online on Coursera and is the first of its kind in Russia.